Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset

BACKGROUND: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interactions may be modelled by a Bayesian Network (BN) that represents the presence of direct interactions from regulators to re...

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Bibliographic Details
Main Authors: Auliac, Cédric, Frouin, Vincent, Gidrol, Xavier, d'Alché-Buc, Florence
Format: Artigo
Language:Inglês
Published: BioMed Central 2008
Subjects:
Methodology Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2335304/
https://ncbi.nlm.nih.gov/pubmed/18261218
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-91
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